WO2014184879A1

WO2014184879A1 - Mobile information processing device, information processing system, and information processing method

Info

Publication number: WO2014184879A1
Application number: PCT/JP2013/063451
Authority: WO
Inventors: 美和岡林
Original assignee: 富士通株式会社
Priority date: 2013-05-14
Filing date: 2013-05-14
Publication date: 2014-11-20
Also published as: JPWO2014184879A1; EP2999298A1; US10111046B2; EP2999298A4; US20160073238A1; EP2999298B1; JP6107944B2

Abstract

In order to reduce the consumption of power by a plurality of sensing units, this mobile information processing device is provided with: a plurality of sensing units that acquires information that can be converted to location information representing the current position of the mobile information processing device, and detects events generated in relation to the location information obtained by conversion from the abovementioned information; a storage unit that stores event transition information representing the relationship between the order of transitions between events acquired by the plurality of sensing units, and the elapsed time between transitions; and a control unit that determines the latest event detected by any of the plurality of sensing units as the current event, and controls the operating state of the sensing unit that detects an event of a transition destination among the event transition information, on the basis of the relationship between the transition time to the event of the transition destination transitioned to from the event corresponding to the current event among the event transition information, and the elapsed time from the time the current event was detected.

Description

Portable information processing apparatus, information processing system, and information processing method

The present invention relates to a portable information processing device, an information processing system, and an information processing method for controlling a sensing unit.

FIG. 1 is a diagram illustrating an example of a location determination sensing unit. The location determination sensing unit is roughly classified into one that acquires absolute coordinates, one that acquires that it is within the detection range of the installed device, and one that acquires passage through the installation location of the installed device (passing type).

A sensing unit that obtains absolute coordinates includes, for example, a GPS receiver. The GPS receiver receives a signal from a GPS satellite, measures the latitude and latitude at which it is currently located, and compares it with map information to detect entry and exit of a place. Latitude and longitude are also called absolute coordinates.

Examples of the sensing unit that acquires that the device is within the detection range of the installed device include a Wi-Fi (Wireless Fidelity) device, a Bluetooth (registered trademark) device, and a microphone. The Wi-Fi device, for example, uses the SSID (Service Set Identifier) that is identification information of the Wi-Fi access point from the received radio wave and RSSI (Received Signal Strength Indication) information indicating the radio field intensity to determine the access point of the SSID. Detect entry or exit to the detection range. For example, the Bluetooth device detects the ID of the Bluetooth (registered trademark) device installed from the received radio wave, thereby detecting the entry or exit of the detection range of the Bluetooth device with the ID. For example, the microphone detects an ID from an acoustic wave signal outside the audible range in the collected sound wave signal, thereby detecting the entry or exit of the detection range of the installation device with the ID.

For example, NFC (Near Field Communication) equipment and cameras are available as sensing units that acquire the passage of the installed equipment through the installation location. NFC devices include, for example, NFC readers and IC cards. For example, a portable terminal equipped with an IC card as an NFC device detects a touch on the NFC reader, thereby detecting passage of the NFC reader. For example, the camera detects a passage of the predetermined position by recognizing a marker such as a QR code (registered trademark) installed at the predetermined position from the captured image.

JP 2003-264565 A JP 2010-278564 A JP 2010-211679 A JP 2006-303898 A

However, there is a problem that the power consumption of the mobile terminal increases when a plurality of sensing units are always operated.

An object of one embodiment of the present invention is to provide a portable information processing device, an information processing system, and an information processing method capable of reducing power consumption by a plurality of sensing units.

One aspect of the present invention is:
A plurality of sensing units for acquiring information that can be converted into place information indicating a current position of the portable information processing device, and detecting an event that occurs with respect to the place information obtained by conversion from the information;
A storage unit for storing event transition information indicating a relationship between an order of transition between events acquired by the plurality of sensing units and an elapsed time between the transitions;
The latest event detected by any of the plurality of sensing units is determined as a current event, the transition time from the event corresponding to the current event in the event transition information to the transition destination event, and From the relationship with the elapsed time from the time when the current event is detected, a control unit that controls the operating state of the sensing unit that has detected the transition destination event in the event transition information;
A portable information processing apparatus.

Another aspect of the present invention is an information processing method executed by the above-described portable information processing apparatus. Another aspect of the present invention can include an information processing program that causes a computer to function as the above-described portable information processing apparatus, and a computer-readable recording medium that records the program. The computer-readable recording medium refers to a recording medium in which information such as data and programs is accumulated by electrical, magnetic, optical, mechanical, or chemical action and can be read from the computer or the like.

According to the disclosed portable information processing apparatus, information processing system, and information processing method, power consumption by a plurality of sensing units can be reduced.

It is a figure which shows an example of a place determination sensing part. It is a figure which shows an example of a process of the portable information processing apparatus which concerns on 1st Embodiment. It is a figure which shows the structure of the sensing control system which concerns on 1st Embodiment, and an example of the flow of a process in a sensing control system. It is a figure which shows an example of the hardware constitutions of a server and a portable terminal. It is a figure which shows an example of the functional block of the server and portable terminal which concern on 1st Embodiment. It is a figure which shows an example of the specification of event history data. It is a figure which shows an example of the data contained in a directed graph data storage part. It is an event occurrence rate table stored in the event occurrence rate storage unit of each mobile terminal. It is an example of the flowchart of the process of the data update by the event generation | occurrence | production by a portable terminal. It is an example of the flowchart of the creation process of the directed graph data by a server. It is an example of the flowchart of the creation process of the directed graph data by a server. It is a figure which shows an example of the determination process of the temporary node using an absolute coordinate. It is a figure which shows an example of the determination process of the temporary node using an absolute coordinate. It is an example of the flowchart of the sensing control process in the event undetected state in a portable terminal. It is an example of the flowchart of the sensing control process in the event undetected state in a portable terminal. It is an example of the flowchart of the sensing control process in the event detection state in a portable terminal. It is an example of the flowchart of a node search process. It is an example of the flowchart of the method 1 and the method 2 of the sensing control process performed according to the result of a node search process. It is an example of the flowchart of the method 3 of the sensing control process performed according to the result of a node search process. It is a figure for demonstrating the method 4 of the sensing control process performed according to the result of a node search process. It is an example of the flowchart of the method 4 of the sensing control process performed according to the result of a node search process. It is a figure which shows the example of the positional relationship in a shopping center. It is a figure which shows the example of the directed graph produced in the sensing control which concerns on 1st Embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The configuration of the following embodiment is an exemplification, and the present invention is not limited to the configuration of the embodiment.

<First Embodiment>
FIG. 2 is a diagram illustrating an example of processing of the portable information processing device according to the first embodiment. In the first embodiment, the portable information processing device includes a plurality of different types of sensing units. For example, the portable information processing apparatus includes a GPS receiving module, an NFC module, a Wi-Fi module, a microphone, a camera, and the like as a sensing unit.

Sensing is to detect, for example, a GPS signal, a radio wave with a predetermined frequency, a sound wave signal with a predetermined frequency, a predetermined marker, or the like from a predetermined means. Examples of the predetermined means include a GPS satellite, a Wi-Fi access point, an NFC reader, and an identification marker. The sensing unit of the portable information processing apparatus obtains, for example, absolute coordinates, Wi-Fi access point SSID, NFC reader ID, identification marker ID, and the like by performing sensing. The sensing unit holds location information associated with information obtained from the sensing, and acquires location information indicating the current position by sensing. The location information indicating the current position is, for example, a park, a site area, a device detection range, an installation location, or the like on a map. That is, in the first embodiment, sensing is to acquire information that can be converted into place information indicating the current position from a predetermined means.

The sensing unit detects the occurrence of an event related to the location information linked to the information obtained by sensing according to the sensing detection status. In addition, the event related to location information is, for example, an entry, an exit, or a stay for a predetermined location, area, or geographical range. In the first embodiment, events are distinguished by type, location, and type of sensing unit as a detection source.

In addition, since an event is detected by each sensing unit, the detected event differs depending on the type and specification of the sensing unit. For example, a sensing unit that obtains absolute coordinates and a sensing unit that obtains being within the detection range of an installed device detect the types of events of entry, exit, and presence of a predetermined location. Further, for example, a passing type sensing unit detects an event of passing through a predetermined place, that is, an existence at a predetermined place. However, it is not limited to this.

Also, the name of the event type is not limited to entering, exiting, or staying, and varies depending on each sensing unit. For example, in the example shown in FIG. 2, NFC, which is a passing-type sensing unit, refers to an event of stay of NFC B installation location as a touch event. In addition, although the name of the event type varies depending on each sensing unit, in the first embodiment, the event is classified as one of the types of entry (enter), exit (exit), or presence (stay). To do.

The portable information processing apparatus holds a storage unit that stores event transition information generated from history information of events detected by each sensing unit. The event transition information is information indicating the relationship between the order of transition between events acquired by each sensing unit and the transition time between events. The portable information processing device uses the latest event as the current event, the transition time from the event corresponding to the current event in the event transition information to the transition destination event, and the elapsed time since the detection of the latest event From this relationship, the operating state of the sensing unit that detects the event at the transition destination is controlled.

More specifically, the portable information processing device requests event transition starting from the latest event. In the first embodiment, the transition of the event is represented using a directed graph. The portable information processing apparatus creates a directed graph starting from the latest event, with the event as a node, the event transition as an arc, and the event occurrence interval as the arc length.

For example, in the example shown in FIG. 2, the history data includes the history of the occurrence of the NFC B touch event t1 hour after the occurrence of the location A enter event and the occurrence of the location A exit event after time t2. That is, from the history data, it is predicted that an NFC B touch event will occur after t1 time after the occurrence of the place A enter event, and a place A exit event will occur after t2 hours.

Therefore, when the latest event is the location A enter event, the location A enter event, the NFC B touch event, and the location A exit event are set as the origin node 51, the node 52, and the node 53, respectively. Further, the start node 51 and the node 52 are connected by an arc having a length of t1 from the start node 51 to the node 52. The origin node 51 and the current node 53 are connected by an arc having a length of t2 from the origin node 51 toward the node 53.

Furthermore, since the occurrence of the location A exit event and the area C enter event is predicted from the history data after the NFC B touch event, the

nodes

53 and 54 and the

arcs

63 and 64 are added to the directed graph as described above. Is done. In this way, a directed graph is created from the history data.

The portable information processing device determines the operating state of the sensing unit that detects the event of each node from the relationship between the elapsed time T from the occurrence of the latest event and the total arc length from the starting node of each node. decide. For example, in FIG. 2, when t2 <t1, the portable information processing device is used when the elapsed time T from the starting node 51 is equal to or longer than the length t2 of the arc 62 connecting the starting node 51 and the node 53. The node 53 is selected, and the sensing unit corresponding to the node 53 is turned on. Further, when the time elapses without occurrence of an event being detected, the portable information processing device is used when the elapsed time T is equal to or longer than the length t1 (> t2) of the arc 61 connecting the starting node 51 and the node 52. Turns on the sensing units corresponding to the

nodes

52 and 53, respectively.

That is, in the example shown in FIG. 2, the portable information processing device turns off all the sensing units during 0 <elapsed time T <t2. The portable information processing device turns on the sensing unit corresponding to the node 53 and turns off the other sensing units during t2 ≦ elapsed time T <t1. Further, the portable information processing device turns on the sensing units corresponding to the

nodes

53 and 52 and turns off the other sensing units during t1 ≦ elapsed time T <t4. However, the control of the operation state of the sensing unit is not limited to turning on or off the sensing unit, and includes, for example, control of an operation interval.

As a result, the portable information processing device reduces the number of sensing units activated in parallel by turning on the sensing unit of an event that may occur next and turning off the other sensing units. And reduce power consumption.

In the portable information processing apparatus, the directed graph is not always created in the form as shown in FIG. For example, the information processing apparatus may define a node and an arc, and treat the identification information of the node and the arc in the order of transition as a directed graph. In the following description, the terms “node” and “arc” are used. However, in the portable information processing apparatus, the term “node” and “arc” may not be defined. For example, an event may be defined as an event, and an arc may be defined as a transition from a transition source event to a transition destination event.

<System configuration>
FIG. 3 is a diagram illustrating an example of a configuration of the sensing control system 100 according to the first embodiment and a processing flow in the sensing control system 100. The sensing control system 100 includes a server 1 and a plurality of portable terminals 2. However, in FIG. 3, one mobile terminal 2 is shown for convenience. The mobile terminal 2 is an example of a “portable information processing apparatus”.

In OP1, each mobile terminal 2 transmits event history data to the server 1. In OP2, the server 1 creates or updates the directed graph data from the event history data received from each portable terminal 2. Details of the directed graph data will be described later. In OP3, the server 1 transmits the directed graph data to each portable terminal 2.

The processing of OP1 to OP3 is executed at each timing of the server 1 and each portable terminal 2, for example, at a predetermined cycle. The predetermined period is, for example, a daily unit such as once a day, a week unit such as once a week, or a monthly unit such as once a month, and is set by the system administrator.

In OP4, each mobile terminal 2 creates a directed graph starting from the latest event using the directed graph data received from the server 1, and controls the sensing unit based on the directed graph.

FIG. 4 is a diagram illustrating an example of a hardware configuration of the server 1 and the mobile terminal 2. The server 1 is an information processing apparatus, for example, a general-purpose computer such as a dedicated computer or a personal computer (PC). The server 1 includes a CPU (Central Processing Unit) 101, a RAM (Random Access Memory) 102, a ROM (Read Only Memory) 103, an auxiliary storage device 104, and a communication interface 105, which are electrically connected.

The communication interface 105 is an interface for connecting to a LAN by wire or wireless, for example. For example, the server 1 is connected to an external network via a LAN, receives an event history from the mobile terminal 2, and transmits directed graph data to the mobile terminal 2. The communication interface 105 is, for example, a NIC (Network Interface Card) or a wireless LAN (Local Area Network).

The RAM 102 and the ROM 103 are used as a main storage device, and provide a storage area and a work area for loading a program stored in the auxiliary storage device 104 to the CPU 101, or are used as a buffer. The RAM 102 and the ROM 103 are, for example, semiconductor memories.

The auxiliary storage device 104 is a nonvolatile storage device such as an EPROM (Erasable Programmable ROM) or a hard disk drive (Hard Disk Drive). In addition, a portable medium that is detachably attached to the server 1 may be used as the auxiliary storage device 104. Examples of portable media include a memory card such as an EEPROM, a CD (Compact Disc), a DVD (Digital Versatile Disc), and a BD (Blu-ray (registered trademark) Disc). The auxiliary storage device 104 using a portable medium and the non-portable auxiliary storage device 104 can be used in combination.

The auxiliary storage device 104 holds, for example, an operating system (OS), a directed graph data creation program, and various other application programs. The directed graph data creation program is a program for creating and updating the directed graph data from the event history data received from each mobile terminal 2. The directed graph data is data for creating a directed graph, and is node and arc definition information.

The CPU 101 executes various processes by loading the OS, the directed graph data creation program, and other various application programs held in the auxiliary storage device 104 into the RAM 102 and the ROM 103 and executing them. The CPU 101 is not limited to one, and a plurality of CPUs may be provided.

The hardware configuration of the server 1 is not limited to the example shown in FIG. 5, and omissions, replacements, and additions of components may be performed as appropriate. For example, the server 1 may include an input device such as a keyboard and a pointing device, and an output device such as a display and a printer.

Next, the portable terminal 2 is a portable information processing device, for example, a smartphone, a cellular phone terminal, a tablet terminal, a car navigation system, a portable game device, or the like. In the first embodiment, the mobile terminal 2 is assumed to be a smartphone. The portable terminal 2 includes a CPU 201, a storage unit 202, a touch panel 203, a display 204, a wireless unit 205, an audio input / output unit 206, a speaker 207, a microphone 208, a sensing unit 209, and an antenna 210, which are electrically connected. ing.

The storage unit 202 includes a ROM 202A, a RAM 202B, and an auxiliary storage device 202C. The ROM 202A and the RAM 202B are used as a main storage device, and provide a storage area and a work area for loading a program stored in the auxiliary storage device 202C to the CPU 201, or are used as a buffer. The ROM 202A and the RAM 202B are, for example, semiconductor memories.

The auxiliary storage device 202C is a nonvolatile storage device such as an EPROM. Further, a portable medium that is detachably attached to the mobile terminal 2 may be used as the auxiliary storage device 202C. Examples of portable media include a memory card such as an EEPROM. The auxiliary storage device 202C using a portable medium and the non-portable auxiliary storage device 202C can be used in combination.

The auxiliary storage device 202C holds, for example, an OS, a sensing control program, and various other application programs. The sensing control program is a program for controlling the sensing unit 209. The sensing control program is an example of an “information processing program”.

The CPU 201 executes various processes by loading the OS, sensing control program, and other various application programs held in the auxiliary storage device 202C into the ROM 202A and the RAM 202B and executing them. The CPU 201 is not limited to one, and a plurality of CPUs may be provided.

The touch panel 203 is one of position input devices, and inputs the coordinates of the contact position of the finger corresponding to the screen of the display 204. The touch panel 204 may be of any system such as a resistive film system, a surface acoustic wave system, an infrared system, an electromagnetic induction system, or a capacitance system.

The display 204 is, for example, a liquid crystal display (LCD). The display 204 displays screen data in accordance with a signal input from the CPU 201.

The wireless unit 205 is connected to the antenna 210, converts a wireless signal received through the antenna 210 into an electrical signal and outputs the electrical signal to the CPU 201, or converts an electrical signal input from the CPU 201 into a wireless signal and transmits the antenna to the antenna. Or send it through 210. The wireless unit 205 is, for example, an electronic circuit corresponding to one or more of a third generation mobile communication system, Wi-Fi, and LTE (Long Term Evolution).

The audio input / output unit 206 is connected to a speaker 207 as an audio output device and a microphone 208 as an audio input device. The audio input / output unit 206 converts an audio signal input from the microphone 208 into an electric signal and outputs the electric signal to the CPU 201, or converts an electric signal input from the CPU 201 into an audio signal and outputs the audio signal to the speaker 207. To do.

The sensing unit 209 is a sensor module that performs sensing and includes a plurality of sensing modules. The sensing unit 209 includes a GPS reception module, a Wi-Fi module, a Bluetooth (registered trademark) module, an NFC module, a microphone, a camera, and the like. In the first embodiment, the NFC module includes an IC card. Note that the Wi-Fi module as the sensing unit 209 may be a Wi-Fi module included in the wireless unit 205. The microphone as the sensing unit 209 may be the same as or different from the microphone 208.

The hardware configuration of the mobile terminal 2 is not limited to the example illustrated in FIG. 4, and omissions, replacements, and additions of components may be appropriately performed. For example, the mobile terminal 2 includes a battery in addition to the hardware configuration shown in FIG.

FIG. 5 is a diagram illustrating an example of functional blocks of the server 1 and the mobile terminal 2 according to the first embodiment. The server 1 includes a history receiving unit 11, a data creation unit 12, an event history data storage unit 13, and a directed graph data storage unit 14 as functional blocks.

The CPU 101 of the server 1 executes the directed graph data creation program stored in the auxiliary storage device 104 to perform processing of the history reception unit 11 and the data creation unit 12. However, these functional blocks may be realized by hardware such as FPGA (Field-Programmable Gate Array).

The history receiving unit 11 receives event history data transmitted from each mobile terminal 2 at a predetermined cycle and stores it in the event history data storage unit 13. The data creation unit 12 creates and updates the directed graph data from the event history data newly stored in the event history data storage unit 13 at a predetermined cycle, and transmits the updated directed graph data to each mobile terminal 2. The predetermined cycle in which the directed graph data is updated is set, for example, in units of days, weeks, or months. The history receiving unit 11 is an example of a “receiving unit” of “server”. The data creation unit 12 is an example of “generation unit” and “transmission unit”.

The event history data storage unit 13 and the directed graph data storage unit 14 are created in advance in the storage area of the auxiliary storage device 104 or dynamically through execution of a directed graph data creation program. Details of data stored in the event history data storage unit 13 and the directed graph data storage unit 14 will be described later.

Next, the mobile terminal 2 includes, as functional blocks, a sensing control unit 21, a history transmission unit 22, a directed graph data storage unit 23, an event history data storage unit 24, an event occurrence rate storage unit 25, sensing units 26A-26F, and each sensing unit. A location data storage unit 27A-27F, a data reception unit 28, and a service execution unit 29 corresponding to the units 26A-26F. Hereinafter, when the sensing units 26A-26F and the location data storage units 27A-27F are not particularly distinguished, they are referred to as the sensing unit 26 and the location data storage unit 27, respectively.

The CPU 201 executes processing of the sensing control unit 21, the history transmission unit 22, and the data reception unit 28 by executing a sensing control program stored in the storage unit 202. However, these functional blocks may be realized by hardware such as an FPGA.

The sensing control unit 21 controls each sensing unit 26. Specifically, the sensing control unit 21 performs the following processing. The sensing control unit 21 stores the event detected by each sensing unit 26 in the event history data storage unit 24. In addition, the sensing control unit 21 creates a directed graph from information stored in the directed graph data storage unit 23 starting from the latest event, and controls each sensing unit 26 using the directed graph. Details of the processing of the sensing control unit 21 will be described later. The sensing control unit 21 is an example of a “control unit”.

The history transmission unit 22 reads the event history data newly added to the event history data storage unit 24 during one cycle of the predetermined cycle and transmits it to the server 1 at a predetermined cycle. The data receiving unit 28 receives the directed graph data transmitted from the server 1 at a predetermined cycle and stores it in the directed graph data storage unit 23. The predetermined cycle for transmitting event history data to the server 1 is set, for example, on a daily, weekly, or monthly basis.

The sensing unit 26 corresponds to a sensor module and a program for controlling the module. Turning on or off the sensing unit 26 indicates, for example, either starting or stopping the program of the corresponding sensor module, or turning on or off the power of the corresponding sensor module. In addition, the location data storage unit 27 stores location information of an installed device that transmits a radio wave or a sound wave signal to be detected by the corresponding sensing unit 26 or a marker. More specifically, it is as follows.

The sensing unit 26A performs sensing at a predetermined cycle through the Wi-Fi module, and detects Wi-Fi radio waves. The scan period is set, for example, in seconds or minutes. The Wi-Fi location data storage unit 27A stores the correspondence between the SSID of the Wi-Fi access point and the location information of the detection range of the radio signal including the SSID.

The sensing unit 26A acquires the SSID of the Wi-Fi access point included in the wireless signal by sensing. For example, when the sensing unit 26A detects a change in the power intensity of a radio signal from less than a predetermined threshold value to more than the predetermined threshold value, the sensing unit 26A detects an entry event into the detection range of the Wi-Fi access point. To do. In addition, for example, when the power intensity of the radio signal exceeds a predetermined threshold for a predetermined time, the sensing unit 26A detects a presence event within the detection range of the Wi-Fi access point. The sensing unit 26A, for example, detects an exit event from the detection range of the Wi-Fi access point when detecting a change from the predetermined threshold value to the predetermined threshold value of the power intensity of the detected radio signal. Is detected.

The wireless signal transmitted from the Wi-Fi access point includes the SSID, and the sensing unit 26A uses the SSID as a key to store the location information of the detection range of the Wi-Fi access point as a Wi-Fi location data storage unit. Obtained from 27A.

The sensing unit 26B performs sensing at a predetermined cycle through the Bluetooth (registered trademark) module, and detects radio waves from the Bluetooth device. The Bluetooth location data storage unit 27B stores the correspondence between the ID of the Bluetooth device that transmits radio waves and the location information of the detection range of the radio waves transmitted by the Bluetooth device. The scan period is set, for example, in seconds or minutes.

The event detection process of the sensing unit 26B is performed in the same manner as the sensing unit 26A with respect to the radio wave and the threshold of the Bluetooth specified frequency. The sensing unit 26B detects an entry (enter), presence (stay), and exit (exit) event to a predetermined location.

The sensing unit 26C senses a GPS signal through the GPS receiving module, and acquires latitude and longitude. The GPS location data storage unit 27C stores map information including correspondence between absolute coordinates of latitude and longitude and location. The sensing unit 26C acquires absolute coordinates of latitude and longitude from a GPS satellite signal at a predetermined period, and acquires a location corresponding to the absolute coordinates acquired from the GPS location data storage unit 27C. The period for acquiring the absolute coordinates is set, for example, in seconds or minutes.

The sensing unit 26C continuously monitors the acquired latitude and longitude, and detects an entry, presence, and exit event from a transition of the latitude and longitude to a predetermined location.

The sensing unit 26D senses at a predetermined cycle through a microphone, and detects, for example, a sound wave signal (ultrasonic wave) having a predetermined frequency outside the audible range superimposed on a sound signal such as music. The sensing period is set, for example, in seconds or minutes. The sound wave location data storage unit 27D stores the correspondence between the frequency of the sound wave outside the audible range, the ID of the device that transmits the sound wave signal of the frequency, and the location information of the detection range of the sound wave signal transmitted by the device. . The sensing unit 26D acquires the ID of the device that transmits the sound wave signal and the location information of the detection range of the device from the sound wave location data storage unit 27D using the frequency of the detected sound wave signal as a key.

The event detection process of the sensing unit 26D is performed in the same manner as the sensing unit 26A for a sound wave signal having a predetermined frequency outside the audible range and a predetermined threshold value of the power intensity of the sound wave signal. The sensing unit 26D detects an entry, presence, and exit event to a predetermined location.

The sensing unit 26E performs sensing at a predetermined cycle through the NFC module and detects radio waves. In the first embodiment, the sensing unit 26E is assumed to be a module having an IC card and a control circuit. For example, the sensing unit 26E conducts when the mobile terminal 2 is brought close to a predetermined distance to an NFC reader or the like, detects an NFC radio wave, and detects the NFC reader. The sensing unit 26E communicates with the detected NFC reader and acquires the ID of the NFC reader. For example, the NFC location data storage unit 27E stores a correspondence between an ID of an NFC device such as an NFC reader and location information where the NFC device is installed.

When the sensing unit 26E detects the NFC reader, the sensing unit 26E detects a touch event to the NFC reader. The touch event is, for example, an event classified as a presence event at the place where the NFC reader is installed.

The sensing unit 26F detects an identification marker from an image captured by the user through the camera. The identification marker location data storage unit 26F stores the correspondence between the identification marker and the location information of the location of the identification marker.

When the sensing unit 26F detects the identification marker from the captured image, the sensing unit 26F detects a presence event at the installation location of the identification marker. The location information of the installation of the identification marker is acquired from the identification marker location data storage unit 26F.

When each sensing unit 26 detects an event, each sensing unit 26 notifies the sensing control unit 21 of the event data. For example, an event, an event occurrence time, a type of the sensing unit 26 that has detected the event, and event occurrence location information are notified to the sensing control unit 21 as event data. The location information stored in the location data storage unit 27 may be, for example, a location name or a coded ID. In the first embodiment, it is assumed that the location information is an ID unified within the system. The event data is stored as event history data in the event history data storage unit 24 by the sensing control unit 21. Each sensing unit 26 is an example of a “sensing unit”.

The service execution unit 29 provides a service that uses the control of the sensing unit 26 by the sensing control unit 21. The service includes, for example, a service that distributes store information and sales floor information according to the current location of the user of the mobile terminal 2 in the shopping center, and a service that supports work in each area of the shopping center staff. . The service execution unit 29 is a process performed by the CPU 201 executing, for example, a service providing program stored in the auxiliary storage device 202C.

The directed graph data storage unit 23, the event history data storage unit 24, and the event occurrence rate storage unit 25 are respectively created statically in advance or dynamically through execution of a sensing control program in the storage area of the auxiliary storage device 202C. . The data structures of the data stored in the directed graph data storage unit 23 and the event history data storage unit 24 are the same as the data structures of the data stored in the directed graph data storage unit 14 and the event history data storage unit 13 of the server 1, respectively. is there.

<Data>
In the first embodiment, the information handled in the sensing control system 100 is directed graph data, event history data, and an event occurrence rate. Hereinafter, these data will be described.

FIG. 6 is a diagram showing an example of the specification of event history data. The event history data storage unit 13 of the server 1 and the event history data storage unit 24 of the mobile terminal 2 each hold event history data having the specifications shown in FIG. However, the event history data storage unit 13 of the server 1 holds the event history data of all the mobile terminals 2 in the sensing control system 100, and the event history data storage unit 24 of the mobile terminal 2 stores the mobile terminal 2 2 own event history data is held.

The event history data includes an event occurrence time, a detection source sensing unit, a location ID, and an event type. These data are all data created by each sensing unit 26.

Note that the specification of the event history data shown in FIG. 6 is an example, and information included in the event history data may be added, replaced, or omitted as appropriate. For example, when each mobile terminal 2 sends event history data to the server 1, the event history data of the server 1 is included in the event history data of the server 1 by transmitting the event history data including the ID of the mobile terminal 2 itself. Two IDs may be included.

FIG. 7 is a diagram illustrating an example of data included in the directed graph data storage unit. The directed graph data storage unit 14 of the server 1 and the directed graph data storage unit 23 of the mobile terminal 2 store the same data. The directed graph

data storage units

14 and 23 store a node table, a first arc table, and a second arc table.

The node table is a table that defines all nodes of the directed graph used in the sensing control system 100. In the first embodiment, an event is identified by the location of occurrence, the type of the sensing unit that is the detection source, and the event type. Therefore, the node is identified by the location of occurrence and the type of the sensing unit that is the detection source. The node table includes a node ID, a place ID, a sensing unit type, an event type, and the number of log occurrences. The number of log occurrences is the number of occurrences of events corresponding to the node.

The first arc table is a table that defines all arcs of the directed graph used in the sensing control system 100. An arc is identified by a transition source node and a transition destination node. The first arc table includes an arc ID, a transition source node ID (in the figure, node ID (From)), a transition destination node ID (in the figure, node ID (To)), and a length between nodes (elapsed time). ), The number of log occurrences is associated. As the length of the node stored in the first arc table, the shortest value in the past history is stored. The number of log occurrences is the number of occurrences of event transitions corresponding to arcs.

The second arc table is a table storing the distribution of arc lengths defined in the first arc table. In the second arc table, the number of occurrences in a group divided by a unit of a predetermined time length is stored for each arc. In the example shown in FIG. 7, the arcs are grouped at intervals of 5 minutes. The directed graph data storage unit 23 is an example of a “storage unit”. The information stored in the directed graph data storage unit 23 is an example of “event transition information”.

FIG. 8 is an event occurrence rate table stored in the event occurrence rate storage unit 25 of each mobile terminal 2. The event occurrence rate table is a table that stores an event occurrence rate for each type of the sensing unit 26 in the mobile terminal 2. The event occurrence rate table stores the type of the sensing unit 26 that the mobile terminal 2 has, the event occurrence rate, and the number of log occurrences. The number of logs generated is the number of events generated by each sensing unit 26 in the mobile terminal 2. The event occurrence rate storage unit 25 is an example of a “second storage unit”. The event occurrence rate is an example of “event detection rate”.

<Process flow>
(Create directed graph data)
FIG. 9 is an example of a flowchart of a data update process performed when an event occurs in the mobile terminal 2. The flowchart shown in FIG. 9 is started when the mobile terminal 2 detects the occurrence of an event.

In OP11, the sensing control unit 21 stores the event data notified from the sensing unit 26 in the event history data storage unit 24. Next, the process proceeds to OP12.

In OP12, the sensing control unit 21 calculates the event occurrence rate of the sensing unit 26 of the event that has occurred. The event occurrence rate is obtained by the ratio of the number of logs generated by the sensing unit 26 to the total number of events that have occurred in the mobile terminal 2. Specifically, the sensing control unit 21 reads the number of log occurrences of each sensing unit 26 in the event occurrence rate table, and adds 1 to the sum of the number of log occurrences of all sensing units 26. Calculated by dividing the number of logs generated by one. Next, the process proceeds to OP13.

In OP13, the sensing control unit 21 updates the event occurrence rate table. Specifically, the sensing control unit 21 increments the number of log occurrences of the corresponding sensing unit 26 in the event occurrence rate table, and updates the event occurrence rate to the value calculated in OP12. Thereafter, the process shown in FIG. 9 ends.

The portable terminal 2 transmits the event history data newly stored in one cycle of the predetermined cycle to the server 1 at a predetermined cycle (OP1 in FIG. 3). Next, in a predetermined cycle, the server 1 generates and updates the directed graph data from the event history data transmitted from each mobile terminal 2 (OP2 in FIG. 3).

FIGS. 10A and 10B are examples of a flowchart of directed graph data creation processing by the server 1. The flowcharts shown in FIGS. 10A and 10B are started at a predetermined cycle, for example. The predetermined period is set by the administrator of the sensing control system 100 in units of minutes, hours, days, or months, for example.

The processing of OP21-OP28 is executed a number of times corresponding to the total number of new event history data received from each mobile terminal 2. The variable M is a pointer indicating the processing target of new event history data received from one mobile terminal 2, and the initial value is 1. The variable M being 1 indicates that the newest event history data received from the mobile terminal 2 has the oldest event occurrence time as the processing target. Hereinafter, the event history data to be processed is simply referred to as the Mth event.

In OP21, the data creation unit 12 determines whether or not a node corresponding to the Mth event is registered in the node table. If the node corresponding to the Mth event is in the node table (OP21: YES), the process proceeds to OP23. If the node corresponding to the Mth event is not in the node table (OP21: NO), the process proceeds to OP22.

In OP22, the data creation unit 12 assigns an ID to the Mth event and adds it to the node table. Next, the process proceeds to OP23.

In OP23, it is determined whether or not the Mth event is the last event history data received from the corresponding mobile terminal 2. When the M-th event is the last event history data received from the corresponding mobile terminal 2 (OP23: YES), the data creation unit 12 proceeds to the process of event history data of the next mobile terminal 2. Alternatively, when the event history data processing for all the mobile terminals 2 is completed, the processing proceeds to OP29.

If the Mth event is not the last event history data received from the mobile terminal 2 (OP23: NO), the process proceeds to OP24.

In OP24, the data creation unit 12 determines whether or not an arc corresponding to the transition from the Mth event to the M + 1th event is in the first arc table. When the arc corresponding to the transition from the Mth event to the M + 1th event is in the first arc table (OP24: YES), the process proceeds to OP25. When the arc corresponding to the transition from the Mth event to the M + 1th event is not in the first arc table (OP24: NO), the process proceeds to OP27, and the data creation unit 12 determines the first and second arcs. Add a new arc to the table. Next, the process proceeds to OP28.

In OP25, the data creation unit 12 compares the time interval between the Mth event and the M + 1th event with the length (time) of the corresponding arc in the first arc table. If the time interval between the Mth event and the M + 1th event is shorter than the length (time) of the corresponding arc in the first arc table (OP25: YES), the process proceeds to OP26. In OP26, the data creation unit 12 overwrites the length (time) of the corresponding arc in the first arc table with the time interval between the Mth event and the M + 1th event. Thereby, the length of the first arc table is updated to the minimum value. Next, the process proceeds to OP28.

If the time interval between the Mth event and the M + 1th event is equal to or greater than the length (time) of the corresponding arc in the first arc table (OP25: NO), the length of the corresponding arc in the first arc table (Time) is not updated, and the process proceeds to OP28.

In OP28, the data creation unit 12 determines the number of log occurrences corresponding to the arc corresponding to the transition from the Mth event to the M + 1th event in the node table, the first arc table, and the second arc table. Increment each.

Thereafter, the variable M is incremented, and the processing of OP21 to OP28 is repeatedly executed. When the processing of OP21-OP28 is completed for all event history data of all mobile terminals 2, the processing proceeds to OP29.

In OP29, the data creation unit 12 merges the directed graph data processed in OP21-OP28 of all mobile terminals 2. In OP30, the data creation unit 12 transmits the directed graph data to each portable terminal 2. Thereafter, the processing illustrated in FIGS. 10A and 10B ends.

When receiving the directed graph data from the server 1, each mobile terminal 2 updates the directed graph data stored in the directed graph data storage unit 25 with the received data.

(Sensing control processing when no event is detected)
In the first embodiment, the node of the latest event is set as the starting point of the directed graph. However, for example, when the event is not detected, such as when the mobile terminal 2 is started or when the sensing control program is restarted, a node as a starting point is not determined, and thus a directed graph cannot be created. Therefore, sensing control cannot be performed until an event is first detected.

Therefore, in the first embodiment, when the mobile terminal 2 includes the sensing unit 26 capable of acquiring absolute coordinates, the mobile terminal 2 becomes the starting point of the directed graph using the absolute coordinates in the event undetected state. Temporarily set a node, create a directed graph, and perform sensing control. A node that is temporarily set as the starting point of the directed graph is hereinafter referred to as a temporary node. The sensing unit 26 capable of acquiring absolute coordinates includes, for example, a sensing unit 26C that acquires absolute coordinates through a GPS receiving module.

11A and 11B are diagrams illustrating an example of a temporary node determination process using absolute coordinates. FIG. 11A shows an example of a temporary node determination process in the case where it is determined from the absolute coordinates that the mobile terminal 2 exists within the range of the area A and the area B.

When the mobile terminal 2 exists within the range of a plurality of areas, the sensing control unit 21 of the mobile terminal 2 determines a presence event in an area closer to the boundary of the area as a temporary node. The information on the boundary of each area can be acquired from the GPS location data 27C, for example.

For example, in the example shown in FIG. 11A, since the boundary of the region A is closer to the current position of the mobile terminal 2 obtained by absolute coordinates, the sensing control unit 21 detects the presence event of the region A (stay) event. The corresponding node is determined as a temporary node.

When the temporary node is determined, the sensing control unit 21 creates a directed graph starting from the temporary node. Normally, an exit event from an area occurs after a stay event in the area. For this reason, there is a high probability that an event of a node included in a temporary node from a node of a presence event in a region to a node of an exit event from the region will occur. Accordingly, the sensing control unit 21 turns on the sensing unit 26 corresponding to the nodes included in the range from the temporary node to the node corresponding to the exit event from the same area as the temporary node.

In the example shown in FIG. 11A, the temporary node 55 is a presence event in the area A. A node 56 is connected to the temporary node 55 by an arc 65, and a node 57 is connected to the node 56 by an arc 66. Further, a node 58 is connected to the temporary node 55 by an arc 67, and a node 57 is connected to the node 58 by an arc 68.

Node 57 is an exit event of area A. Therefore, in the example shown in FIG. 11A, the sensing unit 26 corresponding to the node 56, the node 58, and the node 57 included from the temporary node 55 to the node 57 is turned on.

FIG. 11B shows an example of provisional node determination processing when it is determined from the absolute coordinates that the mobile terminal 2 does not exist in any region. In this case, the sensing control unit 21 of the mobile terminal 2 determines the node corresponding to the exit event from the region where the region boundary is closest to the current position as a temporary node. In the example shown in FIG. 11B, since the boundary of the region B is closest to the current position, the sensing control unit 21 determines an exit event from the region B as a temporary node.

When the temporary node is determined, the sensing control unit 21 creates a directed graph starting from the temporary node. Thereafter, until an event is detected, the sensing control unit 21 turns on the sensing unit 26 of a node whose sum of arc lengths from the temporary node is equal to or less than the elapsed time T + α as time elapses. T is the elapsed time from the provisional node determination. α is an offset time.

In the example shown in FIG. 11B, the temporary node 58A is an exit event from the region B. The node 58B is connected to the temporary node 58A by an arc 69A, and the node 58C is connected to the node 58B by an arc 69B. Further, a node 58D is connected to the temporary node 58A by an arc 69C.

In FIG. 11B, it is assumed that t3 <t1. When the elapsed time T + α <t3, any sensing unit 26 is off. When t3 ≦ elapsed time T + α <t1, the sensing unit 26 corresponding to the node 58D is turned on. When t1 ≦ elapsed time T + α <t2, the sensing units 26 corresponding to the

nodes

58B and 58D are turned on. When t2 ≦ elapsed time T + α, the sensing units 26 corresponding to the

nodes

58B, 58C, and 58D are turned on.

When the mobile terminal 2 does not include the sensing unit 26 that can acquire absolute coordinates, the sensing control unit 21 does not determine a temporary node and does not generate a directed graph in the event undetected state. Take control. When the mobile terminal 2 does not include the sensing unit 26 capable of acquiring absolute coordinates, the sensing control unit 21 performs an event of each sensing unit 26 stored in the event occurrence rate storage unit 25 in the event undetected state. The operation interval of each sensing unit 26 is set according to the occurrence rate.

12A and 12B are an example of a flowchart of the sensing control process in the event non-detected state by the mobile terminal 2. FIG. The flowcharts shown in FIGS. 12A and 12B are started by, for example, starting a sensing control program when the mobile terminal 2 is started, restarting the sensing control program, and the like.

In OP31, the sensing control unit 21 determines whether or not the mobile terminal 2 is provided with a sensing unit 26 capable of acquiring absolute coordinates. If the mobile terminal 2 includes the sensing unit 26 capable of acquiring absolute coordinates (OP31: YES), the process proceeds to OP34. If the mobile terminal 2 is not equipped with the sensing unit 26 capable of acquiring absolute coordinates (OP31: NO), the process proceeds to OP32.

OP32 and OP33 are sensing control processing in an event non-detected state when the mobile terminal 2 is not provided with the sensing unit 26 capable of acquiring absolute coordinates. In OP32, the sensing control unit 21 reads the event occurrence rate of each sensing unit 26 from the event occurrence rate storage unit 25, and sets priorities in descending order of event occurrence rate.

In OP33, the sensing control unit 21 sets the operation mode of the sensing unit 26 for each priority. The operation interval of the sensing unit 26 is set according to the operation mode. For example, the operation modes include a priority mode, a normal mode, and a standby mode, and the operation intervals are 30 seconds, 1 minute, and 5 minutes, respectively. The operation mode is not limited to this. The interval value of the operation mode varies depending on the type of the sensing unit 26.

For example, the sensing control unit 21 sets the operation mode of the sensing unit 26 having the highest priority to the priority mode. For example, the sensing unit 21 sets the operation mode of the sensing unit 26 having the second highest priority to the normal mode. For example, the sensing unit 21 sets the operation mode of the sensing unit 26 having a priority of 3rd or lower to the standby mode.

In OP32 and OP33, a priority is assigned to each sensing unit 26 according to the event occurrence rate, and the operation mode is determined according to the priority. However, the present invention is not limited to this. For example, an event occurrence rate threshold value may be set, and the operation mode of each sensing unit 26 may be determined according to the relationship between the threshold value and the event occurrence rate.

In OP34, the sensing control unit 21 instructs the sensing unit 26 that can acquire absolute coordinates to acquire absolute coordinates, and acquires absolute coordinates. Next, the process proceeds to OP35.

In OP35, the sensing control unit 21 determines whether or not the mobile terminal 2 is present in any region from the absolute coordinates. If the mobile terminal 2 is present in any area (OP35: YES), the process proceeds to OP36. If the mobile terminal 2 does not exist in any area (OP35: NO), the process proceeds to OP40.

The process from OP36 to OP38 is a sensing control process in an event non-detected state when the mobile terminal 2 exists in any region. In OP36, the sensing control unit 21 sets a presence event in a region closest to the boundary from the current position as a temporary node. Next, the process proceeds to OP37.

In OP37, the sensing control unit 21 acquires data used for the directed graph starting from the temporary node from the directed graph data storage unit 23, and creates a directed graph. The created directed graph is stored in, for example, a temporary storage area of the RAM 202B, and is deleted when the processes in FIGS. 12A and 12B are completed. Next, the process proceeds to OP38.

In OP38, the sensing control unit 21 turns on the sensing unit 26 corresponding to the node included in the directed graph from the temporary node to the node of the exit event from the same area as the temporary node. Next, the process proceeds to OP39.

In OP39, the sensing control unit 21 waits for detection of event occurrence by the sensing unit 26. When the occurrence of an event is detected by any of the sensing units 26 (OP39: YES), the processing shown in FIGS. 12A and 12B ends, and then sensing control processing in the event detection state (described later in FIG. 13). ) Is started.

The processing of OP40-OP45 is sensing control processing in an event non-detected state when the mobile terminal 2 is not present in any area. In OP40, the sensing control unit 21 sets an exit event from an area closest to the boundary from the current position as a temporary node. Next, the process proceeds to OP41.

In OP41, the sensing control unit 21 obtains data used for the directed graph starting from the temporary node from the directed graph data storage unit 23, and creates a directed graph. The created directed graph is stored in, for example, a temporary storage area of the RAM 202B, and is deleted when the processes in FIGS. 12A and 12B are completed. Next, the process proceeds to OP42.

In OP42, the sensing control unit 21 performs a node search from the temporary node. Node search is processing for determining whether or not each node satisfies a predetermined condition. The predetermined condition is, for example, that the sum of arcs from the temporary node (starting node) is larger than the elapsed time T + α and that the node has been searched. When a predetermined condition is satisfied, the node search is terminated at the branch. Details of the node search processing will be described later with reference to FIG.

In OP43, the sensing control unit 21 performs sensing control according to the result of the node search. Details of the sensing control according to the result of the node search will be described later. For example, by the node search process of OP42, the sensing control unit 21 determines to turn on the sensing unit 26 of a node whose arc sum is equal to or less than the elapsed time T + α. In OP43, the sensing control unit 21 turns on the sensing unit 26 corresponding to the node that is equal to or less than the elapsed time T + α determined to be turned on as a result of the node search. Next, the process proceeds to OP44.

In OP44, the sensing control unit 21 waits for detection of event occurrence by the sensing unit 26. When the occurrence of an event is detected by any of the sensing units 26 (OP44: YES), the processing shown in FIGS. 12A and 12B ends, and then sensing control processing in the event detection state (described later in FIG. 13). ) Is started.

If no occurrence of an event is detected for a predetermined time (OP44: NO), the process proceeds to OP45. In OP45, the sensing control unit 21 updates the elapsed time T. Thereafter, the process returns to OP42, and a node search is performed using the updated elapsed time T.

In the sensing control process in the event undetected state when the above-described mobile terminal 2 exists in any area, the exit event from the same area as the temporary node from the temporary node (starting node) Processing to turn on the sensing units 26 of all the nodes included up to the node is performed. As a result, the load on the node search process can be reduced. However, the present invention is not limited to this, and even when the mobile terminal 2 exists in any area, the node search process is performed in the same manner as when the mobile terminal 2 does not exist in any area. It may be broken.

(Sensing control process in event detection state)
FIG. 13 is an example of a flowchart of the sensing control process in the event detection state in the mobile terminal 2. The event detection state is a state where occurrence of at least one event is detected. The flowchart shown in FIG. 13 starts when an event occurrence is detected or at a predetermined cycle. The predetermined period is set, for example, in seconds or minutes.

The processing from OP51 to OP53 is processing when occurrence of an event is detected. Detection of event occurrence is performed by each sensing unit 26.

In OP51, the sensing control unit 21 resets the elapsed time T. The elapsed time T here indicates the elapsed time from the occurrence of the event of the origin node. In OP52, the sensing control unit 21 changes the starting node of the directed graph to the node of the latest event. In OP53, the sensing control unit 21 acquires data used for the directed graph from the directed graph data storage unit 23, and creates a directed graph. The created directed graph is stored in, for example, a temporary storage area of the RAM 202B, and is deleted when the processing in FIG. Next, the process proceeds to OP55.

OP54 is a process performed in a predetermined cycle after the latest event is detected and until the next event is detected. In OP54, the sensing control unit 21 updates the elapsed time T. Next, the process proceeds to OP55.

In OP55, the sensing control unit 21 searches for the created directed graph from the starting node. By the node search, nodes whose sum of arcs from the starting node is less than the elapsed time are extracted. Details of the node search will be described later.

In OP56, the sensing control unit 21 performs sensing control according to the node search result. Details of the sensing control process will be described later. When the process of OP56 ends, the process shown in FIG. 13 ends.

(Node search process)
FIG. 14 is an example of a flowchart of the node search process. In the directed graph, when a starting node is determined, an arc starting from the starting node is extracted from the first arc table, a node positioned at the end point of the extracted arc is determined, and the determined node is the starting point. The arc is created by repeating the extraction from the first arc table.

In the example shown in FIG. 14, a node connected through one arc from the starting node is assumed to be a first-stage node. A node connected from the starting node via m arcs and m−1 nodes is defined as an m-th stage node. In FIG. 14, m is a variable indicating the number of stages of nodes, and is a positive integer. The initial value of the variable m is 1.

The processing from OP61 to OP65 is executed for all the nodes in the m-th stage in the directed graph created in OP42 in FIG. 12B and OP53 in FIG. Hereinafter, the processing target node is set as a target node.

In OP61, the sensing control unit 21 determines whether or not the elapsed time T + α is equal to or greater than the sum of the lengths of arcs included from the starting node to the target node. When the elapsed time T + α is equal to or greater than the sum of the lengths of arcs included from the starting node to the target node (OP61: YES), the process proceeds to OP62. When the elapsed time T + α is less than the sum of the arc lengths included from the starting node to the target node (OP61: NO), the process proceeds to OP65.

In OP62, the sensing control unit 21 determines whether the target node is an unsearched node. When the target node is an unsearched node (OP62: YES), the sensing control unit 21 records that the target node has been searched for in the temporary storage area of the RAM 202B. The node-searched record is deleted when the node search process ends. Thereafter, the process proceeds to OP63. If the target node is a searched node (OP62: NO), the process proceeds to OP65. Whether or not the target node has been searched is determined by referring to the record of the searched node in the temporary storage area of the RAM 202B.

In OP63, the sensing control unit 21 determines to turn on the sensing unit 26 of the target node. Next, the process proceeds to OP64.

In OP64, the sensing control unit 21 increments the number of searches for the sensing unit 26 determined to be turned on in OP63. The number of searches of each sensing unit 26 is recorded, for example, in a temporary storage area of the RAM 202B, the initial value is 0, and is reset at the start of the node search process.

In OP65, since the sum of the lengths of arcs included from the starting node to the target node is greater than the elapsed time T + α, or the target node is a searched node, the sensing control unit 21 detects the destination node from the target node. For the branch, the node search is not performed and the branch ends. When the target node has been searched, the occurrence of a loop in the search process can be reduced by terminating the branch.

When the process of OP64 or OP65 ends, the process is performed from OP61 on the next node in the m-th stage. When the target node is the last node in the m-th stage, the variable m is incremented, and the process is performed from OP61 for the first node in the next stage. When the process of OP61-OP65 is completed for a node that can be a target node in the directed graph, the node search process shown in FIG. 14 ends. Next, a sensing control process is executed based on the result of the node search process. Note that the flowchart shown in FIG. 14 is an example, and the present invention is not limited to this.

(Sensing control processing)
In the first embodiment, there are the following four methods for sensing control processing performed according to the result of the node search processing. Any method may be adopted.

The first method (method 1) is a method in which the sensing unit 26 determined to be turned on by the node search process is turned on and the other sensing units 26 are turned off.

The second method (method 2) is a method in which the operation mode of the sensing unit 26 determined to be turned on by the node search process is set to the normal mode, and the other operation modes of the sensing unit 26 are set to the standby mode.

In the third method (method 3), the operation mode of the sensing unit 26 determined to be turned on by the node search process is set to the priority mode or the normal mode according to the ratio of the node searched, and other sensing is performed. This is a method of setting the operation mode of the unit 26 to the standby mode.

In the fourth method (method 4), the operation mode of the sensing unit 26 determined to be turned on by the node search process is set to the priority mode or the normal mode according to the distribution of event (node) occurrence intervals. This is a method of setting the other operation mode of the sensing unit 26 to the standby mode.

FIG. 15 is an example of a flowchart of the method 1 and the method 2 of the sensing control process performed according to the result of the node search process. First, the flowchart of Method 1 will be described.

The processing of OP71-OP73 is executed for all the sensing units 26 provided in the mobile terminal 2. In OP71, the sensing control unit 21 determines whether or not it is determined that the processing target sensing unit 26 is turned on as a result of the node search process.

If it is determined that the sensing unit 26 to be processed is turned on by the node search process (OP71: YES), the process proceeds to OP72. In OP72, the sensing control unit 21 turns on the sensing unit 26 to be processed.

If the sensing unit 26 to be processed has not been determined to be turned on by the node search process (OP71: NO), the process proceeds to OP73. In OP73, the sensing control unit 21 turns off the sensing unit 26 to be processed.

When the processing of OP72 or OP73 is completed, the processing is repeated from OP71 for the next sensing unit 26. When the sensing unit 26 to be processed is the last sensing unit, the process illustrated in FIG. 15 ends.

In the case of the method 2, when it is determined that the processing target sensing unit 26 is turned on by the node search process (OP71: YES), in OP72, the sensing control unit 21 performs processing target sensing unit. The 26 operation modes are set to the normal mode. On the other hand, when it is not determined that the processing target sensing unit 26 is turned on by the node search process (OP71: NO), in OP73, the sensing control unit 21 sets the operation mode of the processing target sensing unit 26. Enter standby mode.

In the case of Method 1, the sensing unit 26 determined to be turned on as a result of the node search process is turned on, and the other sensing units 26 are turned off. Therefore, the number of sensing units 26 that are turned on can be reduced, and power consumption by the sensing unit 26 can be reduced.

In the case of method 2, the operation mode of the sensing unit 26 determined to be turned on as a result of the node search process is the normal mode, and the other operation modes of the sensing unit 26 are the standby mode. In the standby mode, the operation interval of the sensing unit 26 is longer than that in the normal mode. Therefore, according to the method 2, since the number of operations of the sensing 26 in the standby mode can be reduced, power consumption by the sensing unit 26 can be reduced.

FIG. 16 is an example of a flowchart of the method 3 of the sensing control process performed according to the result of the node search process. In the method 3, the operation mode is determined for each sensing unit 26 according to the rate at which the corresponding event node is searched.

The processing of OP81-OP86 is executed for all the sensing units 26 included in the mobile terminal 2. In OP81, the sensing control unit 21 determines whether or not the sensing unit 26 to be processed is determined to be turned on as a result of the node search process.

When it is determined that the sensing unit 26 to be processed is turned on by the node search process (OP81: YES), the process proceeds to OP82. In OP82, the sensing control unit 21 calculates the node search rate of the sensing unit 26 to be processed.

The node search rate is a value obtained by dividing the number of searches of the sensing unit 26 to be processed in the node search process by the total number of searches of all the sensing units 26. The node search rate indicates the degree of occurrence of an event detected by each sensing unit 26. The number of searches of each sensing unit 26 is counted in the process of OP64 in FIG. 14, for example, in the node search process. Next, the process proceeds to OP83.

In OP83, the sensing control unit 21 determines whether or not the calculated node search rate of the sensing unit 26 to be processed is greater than a predetermined threshold value. This threshold value is used to determine the operation mode of the sensing unit 26 to be processed as the priority mode or the normal mode, and is a value from 0 to 1, for example. When the node search rate of the sensing unit 26 to be processed is larger than the predetermined threshold (OP83: YES), the process proceeds to OP84. In OP84, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed. Set priority mode. When the node search rate of the sensing unit 26 to be processed is equal to or less than a predetermined threshold (OP83: NO), the process proceeds to OP85. In OP85, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed. Set to normal mode.

If the sensing unit 26 to be processed has not been determined to be turned on by the node search process (OP81: NO), the process proceeds to OP86. In OP86, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed to the standby mode.

When the process of OP84, OP85, or OP86 is completed, the process is repeated from OP81 for the next sensing unit 26. When the sensing unit 26 to be processed is the last sensing unit, the process illustrated in FIG. 16 ends.

In the case of method 3, the operation mode is determined stepwise according to the node search rate of the sensing unit 26 to be processed. Since the node search rate indicates the degree of occurrence of the event detected by each sensing unit 26, according to the method 3, the sensing unit 26 having a high probability of event occurrence can be operated in the priority mode.

In Method 3, the node search rate is calculated using the number of searches of each sensing unit 26 in the node search process, but the node search rate may be calculated using the number of logs generated in the first arc table of each arc. Good. For example, in OP64 of FIG. 14, the number of logs generated in the first arc table of the arc connecting the processing target node and the previous node is added to the number of searches of the sensing unit 26 of the processing target node, and the sensing unit 26 search times are counted. The node search rate is calculated using the number of searches. Accordingly, the search rate of each sensing unit 26 can be calculated by weighting the number of arc logs.

FIG. 17 is a diagram for explaining a method 4 of the sensing control process performed according to the result of the node search process. Method 4 is a method of setting the operation mode of the sensing unit 26 in accordance with the distribution of event occurrence intervals (arc length distribution).

In the directed graph shown in FIG. 17, the node 59B is connected to the starting node 59A by an arc 69E. An arc 59C is connected to the starting node 59A by an arc 69F.

In the first arc table, since the time with the shortest event occurrence interval is stored as the arc length in the event history, in the directed graph created by the mobile terminal 2, the arc length is The shortest event interval in the past log. However, in practice, the node event occurrence interval has a distribution.

For example, the node 59C has a history that occurs after t4 at the fastest speed from the occurrence of the start node 59A, but the largest number of logs is generated after a lapse of β hours from t4. For example, the node 59B has a history that occurs the fastest after t2 from the occurrence of the start node 59A, but the largest number of logs is generated after the γ time has elapsed from t2.

Therefore, in the method 4, considering the distribution of the log generation number in the time zone divided by a predetermined unit, the operation mode of the sensing unit 26 is set to the normal mode and the log generation number is large in the time zone where the log generation number is small. In the time zone, the operation mode of the sensing unit 26 is set to the priority mode. The time zone divided into predetermined units is, for example, a time zone divided in units of 1 minute, 5 minutes, 10 minutes, and the like. The distribution of the number of logs generated by time is stored in the second arc table (see FIG. 7). In FIG. 7, the distribution of log occurrences in the time period divided in units of 5 minutes is stored.

FIG. 18 is an example of a flowchart of the method 4 of the sensing control process performed according to the result of the node search process.

The processing of OP91-OP98 is executed for all the sensing units 26 provided in the mobile terminal 2. In OP91, the sensing control unit 21 determines whether or not it is determined to turn on the processing target sensing unit 26 as a result of the node search process.

If it is determined that the sensing unit 26 to be processed is turned on by the node search process (OP91: YES), the process proceeds to OP92. In OP92, the sensing control unit 21 calculates, from the first arc table, the total number of log occurrences of all arcs included from the starting node in the directed graph to the already searched node in the directed graph at the elapsed time T + α. Next, the process proceeds to OP93.

In OP93, the sensing control unit 21 generates a log in a time zone corresponding to an arc in which the node searched for the processing target sensing unit 26 in the directed graph is the transition destination (“node (to) in the first arc table)”. The total number of times is calculated from the second arc table, and the time zone corresponding to the arc is obtained by subtracting, from the elapsed time T + α, the sum of arcs included from the starting node including the arc to the node to which the arc is transitioned. This is the time zone defined in the second arc table to which the time belongs, and then the process proceeds to OP94.

In OP94, the sensing control unit 21 calculates a ratio obtained by dividing the sum calculated from the second arc table in OP94 by the sum calculated from the first arc table in OP93. This ratio indicates a ratio in which the processing target sensing unit 26 is used at the elapsed time T + α in the directed graph. Next, the process proceeds to OP95.

In OP95, the sensing control unit 21 determines whether or not the calculated ratio of the sensing unit 26 to be processed is larger than a predetermined threshold value. This threshold value is used to determine the operation mode of the sensing unit 26 to be processed as the priority mode or the normal mode. When the ratio of the sensing unit 26 to be processed is larger than the predetermined threshold (OP95: YES), the process proceeds to OP96. In OP96, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed as the priority mode. Set to. When the ratio of the sensing unit 26 to be processed is equal to or less than the predetermined threshold (OP95: NO), the process proceeds to OP97. In OP97, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed to the normal mode. Set to.

If the sensing unit 26 to be processed is not determined to be turned on by the node search process (OP91: NO), the process proceeds to OP98. In OP98, the sensing control unit 21 sets the operation mode of the sensing unit 26 to be processed to the standby mode.

When the process of OP96, OP97, or OP98 is completed, the process is repeated from OP91 for the next sensing unit 26. When the sensing unit 26 to be processed is the last sensing unit, the process illustrated in FIG. 18 ends.

In the case of the method 4, the operation mode is determined in a stepwise manner in accordance with the rate at which the processing target sensing unit 26 is used at the elapsed time T + α. There is a distribution in the time from a predetermined event until the next event occurs, that is, the event occurrence interval, and the possibility of the event changing with the passage of time. That is, the rate at which the sensing unit 26 is used varies depending on the elapsed time. Therefore, according to the method 4, since the sensing unit 26 that detects the event operates in the priority mode in a time zone where the event is highly likely to occur, the event can be detected with higher accuracy. In addition, during a time period when an event is unlikely to occur, the sensing unit 26 that detects the event operates in the normal mode, so that power consumption can be reduced.

<Application example>
The sensing control process described in the first embodiment supports, for example, a service that distributes store information and sales floor information according to the area in the shopping center to customers, and work and confirmation work in each area of the shopping area staff There is a service to do.

FIG. 19 is a diagram showing an example of the positional relationship in the shopping center. In the example shown in FIG. 19, there are a building 1 and a building 2 in the shopping center. The building 1 and the building 2 are areas detected by the GPS sensing unit 26C as they are. The position can be detected by GPS outside the shopping center site.

NFC 1 is installed at the entrance of the building 1 to add points to the user. A user who desires point addition touches the NFC 1 or brings the mobile terminal 2 close to a predetermined distance. The sales floor 1 on the first floor of the building 1 has a location ID associated with the Wi-Fi access point 1 defined therein. The sales floor 2 on the first floor of the building 1 has a place ID associated with the Wi-Fi access point 2 defined therein.

The tenant 1 on the second floor of the building 1 has a location ID associated with the Bluetooth device 1 defined. The tenant 4 on the second floor of the building 1 has a location ID associated with the Bluetooth device 4 defined therein. In the event space 1 of the building 2, a place ID associated with the sound wave signal output device 1 that outputs a sound wave signal outside the audible range is defined.

In the example shown in FIG. 19, the absolute coordinates of the Wi-

Fi access points

1, 2, NFC 1, Bluetooth device 1, 4, and the sound wave signal output device 1 are not managed, and their positional relationship is Then it is unknown.

FIG. 20 is a diagram illustrating an example of a directed graph created in the sensing control according to the first embodiment. The directed graph shown in FIG. 20 is created from the event history data by the server 1. The portable terminal 2 includes a sensing unit 26 that can detect the Wi-

Fi access points

1, 2, NFC 1,

Bluetooth devices

1 and 2, and the sound wave signal output device 1.

For example, in the directed graph G1, the event node as the start node and the entrance / exit passage event node are connected by an arc of 1 minute in length. In the directed graph G1, the event node of the building 1enter is an arc of 2 minutes in length with the sales floor 2enter event node, an arc of 4 minutes in length with the sales floor 3enter event node, and is 10 in length with the building 1exit event node. Combined with arc of seconds.

For example, in the directed graph G2, the entrance / exit passing event node as the starting point node is connected to the sales floor 2enter event node with an arc of 1 minute in length and to the sales floor 1enter event node with an arc of 3 minutes in length.

For example, in the directed graph G3, the sales floor 1exit event node as a starting point node is an arc of 4 minutes in length with the building 1exit event node, an arc of 2 minutes in length with the tenant 4enter event node, and is long with the tenant 1enter event. The arc of 6 minutes is connected to the sales floor 2enter event node with an arc of 2 minutes in length.

For example, in the directed graph G4, the sales floor 1enter event as the starting node is connected to the sales floor 1exit event by an arc having a length of 1 second.

When sensing control is performed by Method 4, sensing control is performed as follows. In the following description, the sensing unit is simply described by type for convenience.

When the building 1enter event occurs (T = 0), a directed graph G1 is generated, and a node search is performed on the directed graph 1. Assuming that the elapsed time offset time is 1 minute (= α), when the building 1enter event occurs (T = 0), the length of the arc is T + α (= 1 minute) or less. NFC and the GPS of the building 1 exit event node operate in the priority mode. The other sensing units 26 operate in the standby mode. In the second arc table, if it is recorded that the number of log entries of entrance / exit passing events decreases with the passage of time, NFC operates from the priority mode to the normal mode with the passage of time. The mode changes.

If a new event is not detected and the elapsed time is 1 minute, the Wi-Fi of the sales floor 2enter event node whose arc length is T + α (= 2 minutes) or less also operates in the priority mode.

When a sales floor 1exit event is detected, after a lapse of 1 minute (elapsed time T = 1 minute), the tenant 4enter event Bluetooth whose arc length is equal to or less than the elapsed time T + α (= 2 minutes) and the sales floor 2enter The event Wi-Fi operates in the priority mode or the normal mode. At this time, the GPS operates in a standby mode without searching for a node. When 2 minutes elapse (elapsed time T = 3 minutes), the arc length becomes equal to or less than the elapsed time T + α (= 4 minutes), and the GPS of the building 1 exit event starts to operate in the priority mode or the normal mode.

For example, when the operation interval is 10 seconds in the priority mode, 1 minute in the normal mode, and 3 minutes in the standby mode, the priority mode is 6 times as many times as the normal mode and 18 times as many times as the standby mode. Therefore, by controlling the sensing unit as described above, the number of operations by all the sensing units 26 can be reduced even when the plurality of sensing units 26 are in the standby mode for one minute, and power saving can be achieved. I understand.

Further, for example, when paying attention to the directed graph G1, the event nodes connected to the building 1enter event node are event nodes of locations included in the first floor of the building 1, and the geographical positional relationship between each location and the directed graph G1 It can be seen that the positional relationship of the nodes is similar. In the first embodiment, an event occurs due to the movement of the mobile terminal 2, and the event occurrence interval is a movement time between places. Since the travel time and the distance between places are proportional to the speed, by creating a directed graph with the event as a node and the event occurrence interval as the arc length from the event history data, the approximate time of each installed device or place The positional relationship can be detected.

When the positional relationship between each location is defined by absolute coordinates, for example, a large-scale process such as measurement of radio wave intensity is performed, which requires labor and budget costs for preparation. On the other hand, in the sensing control system according to the first embodiment, it is possible to obtain an approximate positional relationship by a relatively inexpensive process of associating the location ID with the ID of the installed device, and a service using the positional relationship. Can be provided.

<Operational effects of the first embodiment>
According to the first embodiment, the mobile terminal 2 generates a directed graph from event history data, using an event as a node, an event occurrence interval as an arc length, and a latest event as a starting node. The mobile terminal 2 extracts a node according to the sum of the elapsed time from the occurrence of the latest event and the length of the arc, and selects a sensing unit that detects the extracted node. The portable terminal 2 sets the selected sensing unit to on or priority mode or normal mode, and sets the sensing unit that has not been selected to off or standby mode. Thereby, the number of sensing units 26 activated in parallel or the number of operations of the sensing units 26 can be reduced, and the power consumption by the plurality of sensing units 26 can be reduced.

In addition, according to the first embodiment, the mobile terminal 2 can be configured as an installed device without holding information such as the current position of the device itself, the position of each installed device, and the detection range (location) of the installed device in absolute coordinates. An approximate positional relationship called a directed graph can be acquired based on information associated with the detection range (location) of the installed device. Moreover, the portable terminal 2 can select and control the sensing unit 26 of an event that is highly likely to occur next, using a directed graph indicating an approximate positional relationship. Thereby, when sensing is desired, the portable terminal 2 can reduce power consumption by performing desired sensing.

In the first embodiment, the server 1 collects event history data of each mobile terminal 2 and creates directed graph data. However, the present invention is not limited to this. For example, the portable terminal 2 includes the data creation unit 12 of the server 1, and creates a directed graph starting from the latest event from the event history data of the portable terminal 2 itself and controls the sensing unit 26 with the portable terminal 2 itself. May be.

DESCRIPTION OF SYMBOLS 1 Server 2 Portable terminal 11 History receiving part 12 Data preparation part 13 Event history data storage part 14 Directed graph data storage part 21 Sensing control part 22 History transmission part 23 Directed graph data storage part 24 Event history data storage part 25 Event occurrence rate storage part 26 Sensing unit 27 Location data storage unit

Claims

A plurality of sensing units for acquiring information that can be converted into place information indicating a current position of the portable information processing device, and detecting an event that occurs with respect to the place information obtained by conversion from the information;
A storage unit for storing event transition information indicating a relationship between an order of transition between events acquired by the plurality of sensing units and an elapsed time between the transitions;
The latest event detected by any of the plurality of sensing units is determined as a current event, the transition time from the event corresponding to the current event in the event transition information to the transition destination event, and From the relationship with the elapsed time from the time when the current event is detected, a control unit that controls the operating state of the sensing unit that has detected the transition destination event in the event transition information;
A portable information processing apparatus.
The control unit obtains an event transition starting from the latest event based on the event transition information, extracts an event whose total transition time from the starting point is smaller than the elapsed time, and the event transition Select the sensing unit that detected the extracted event in the information and turn off the unselected sensing unit, or make the operation interval of the unselected sensing unit longer than the selected sensing unit , Controlling the plurality of sensing units,
The portable information processing apparatus according to claim 1.
The control unit repeatedly executes the extraction of the event and the control of the plurality of sensing units at a predetermined period until an event is newly detected by any of the plurality of sensing units.
The portable information processing apparatus according to claim 2.
In any event undetected state, when the absolute coordinate is acquired by one of the plurality of sensing units, and the current position obtained from the absolute coordinate is within a predetermined region, the control unit, A presence event indicating presence in the predetermined area in the event transition information is set at the starting point.
The portable information processing apparatus according to claim 2 or 3.
When the current position is within a plurality of areas, the control unit sets, as the starting point, a presence event that indicates presence in an area that is closest to the boundary of the area from the current position.
The portable information processing apparatus according to claim 4.
In any event undetected state, when the absolute coordinate is acquired by one of the plurality of sensing units, and the current position obtained from the absolute coordinate is not in any region, the control unit, A departure event indicating exit from an area closest to the boundary of the area from the current position is set as the starting point;
The portable information processing apparatus according to any one of claims 2 to 5.
For each of the plurality of sensing units, further comprising a second storage unit that stores an event detection rate,
When the plurality of sensing units do not include those capable of acquiring absolute coordinates, the control unit is configured to detect the event of each sensing unit obtained from the second storage unit in a state where none of the events is detected. The operation interval of each sensing unit is determined according to the detection rate of
The portable information processing apparatus according to claim 2 or 3.
The control unit calculates a use probability based on the extracted event for each selected sensing unit, and determines an operation interval according to the use probability.
The portable information processing apparatus according to any one of claims 2 to 7.
The control unit calculates a ratio of the total number of events detected by each sensing unit to the total number of the extracted events as the use probability of each selected sensing unit.
The portable information processing apparatus according to claim 8.
The event transition information includes the number of logs of transition between events already acquired by the plurality of sensing units,
The control unit, as the use probability of each selected sensing unit, based on the event transition information, the predetermined event of the latest event or the extracted event included in the determined event transition Each of the extracted events is weighted according to the number of log transitions from the event to each of the extracted events, and the weighted value of the sensing unit that detects each of the extracted events is detected for each sensing unit that is detected And calculating the ratio of the sum of the weighted values of each sensing unit in the sum of the weighted values of the extracted events.
The portable information processing apparatus according to claim 8.
The event transition information includes the number of log occurrences of transitions between events already acquired by the plurality of sensing units, and the distribution of transition times of each transition between the events,
The control unit, for each selected sensing unit, each extracted from a predetermined event among the latest event and the extracted event included in the event transition information included in the obtained event transition The total number of log occurrences in the elapsed time of the distribution of the transition time from the predetermined event to the event detected by each sensing unit in the total number of log occurrences of transition to event for each sensing unit And calculating an operation interval according to the ratio.
The portable information processing apparatus according to any one of claims 2 to 7.
A plurality of portable information processing systems including a plurality of sensing units that acquire information that can be converted into place information indicating a current position of the portable information processing apparatus and detect an event that occurs with respect to the place information obtained by the conversion from the information An information processing system comprising an apparatus and a server,
The server
A receiving unit for receiving history information of events detected by the plurality of portable information processing devices;
Generating the event transition information indicating the relationship between the order of transitions between events already acquired by the plurality of sensing units and the elapsed time between the transitions;
A transmission unit for transmitting the event transition information to the plurality of portable information processing devices;
With
Each of the plurality of portable information processing devices is
A receiving unit for receiving the event transition information;
A storage unit for storing the event transition information;
The latest event detected by any of the plurality of sensing units is determined as a current event, the transition time from the event corresponding to the current event in the event transition information to the transition destination event, and From the relationship with the elapsed time from the time when the current event is detected, a control unit that controls the operating state of the sensing unit that has detected the transition destination event in the event transition information;
Comprising
Information processing system.
The control unit of the portable information processing device calculates a ratio of the total number of events detected by each sensing unit in the total number of extracted events for each selected sensing, and according to the ratio Determine the operation interval,
The information processing system according to claim 12.
The generation unit of the server, for the history information, totals the number of log occurrences of transitions between events already acquired by the plurality of sensing units, includes in the event transition information,
The control unit of the portable information processing device includes the latest event or the extracted event included in the obtained event transition based on the event transition information for each selected sensing unit. Sensing that weights each extracted event according to the number of log occurrences of transition from the predetermined event to the extracted event, and detects a weighted value of a sensing unit that detects the extracted event Total for each part, and calculate the ratio of the sum of the weighted values of each sensing part in the sum of the weighted values of the extracted events.
The information processing system according to claim 12.
The generation unit of the server, for the history information, aggregates the number of log generations of transitions between events acquired by the plurality of sensing units and the distribution of transition times of the transitions between the events, Include in transition information,
The control unit of the portable information processing apparatus includes the latest event and the extracted event included in the obtained event transition for each selected sensing unit based on the event transition information. Log generation at the elapsed time of the distribution of transition time from the predetermined event to the event detected by each sensing unit in the total number of log generations of the transition from the predetermined event to the extracted event Calculate the ratio of the total number of totals for each sensing unit, and determine the operation interval according to the ratio,
The information processing system according to claim 12.
A portable information processing apparatus including a plurality of sensing units that obtain information that can be converted into place information indicating a current position of the portable information processing apparatus and detect an event that occurs with respect to the place information obtained by the conversion from the information. ,
Storing event transition information indicating a relationship between an order of transition between events acquired by the plurality of sensing units and an elapsed time between the transitions;
The latest event detected by any of the plurality of sensing units is determined as a current event, the transition time from the event corresponding to the current event in the event transition information to the transition destination event, and From the relationship with the elapsed time from when the current event is detected, control the operating state of the sensing unit that has detected the event of the transition destination in the event transition information,
Information processing method.